Results 81 to 90 of about 20,295 (253)

Biointegrated Battery‐Based Electroceuticals

open access: yesAdvanced Materials, EarlyView.
Biointegrated batteries go beyond passive power to serve as active therapeutic platforms for delivering programmable electrical cues and bioactive agents. This review examines their mechanisms and applications and provides a framework to guide battery‐based therapeutic design and clinical translation.
Yan Zhou   +6 more
wiley   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

open access: yesAdvanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee   +13 more
wiley   +1 more source

Fractional Soliton Dynamics in Coupled Myelinated Fibers: Comparative Modeling With Beta, Caputo, and Atangana–Baleanu Derivatives

open access: yesBiomedical Engineering and Computational Biology
Background fractional-order modeling provides a powerful framework for representing memory-dependent conduction in excitable biological media. However, existing soliton-based models of myelinated nerve fibers are often theoretical, operator-specific, and
Wulfran Fendzi Mbasso   +6 more
doaj   +1 more source

Intrinsically Stretchable Piezoelectric Nanocomposites for Artificial Ultrasonic Sensory Synapse

open access: yesAdvanced Materials, EarlyView.
Applying ultrasonic stimulations to a soft‐stretchable underwater piezoelectric sensor based on the soft‐stretchable nanocomposite from the thermal cross‐linking between the ─C─F group of P(VDF‐TrFE) and the ─NH2 group of (PEG‐diamine) with incorporating amine‐terminated BTO@APTES nanofillers on the soft PDMS substrates generated high piezoelectric ...
Trung Dieu Do   +11 more
wiley   +1 more source

Information Compensation Based on Pulse Coupled Neural Network [PDF]

open access: yes2021 6th International Conference on Biomedical Imaging, Signal Processing, 2021
openaire   +1 more source

Hydrophobic MFI‐Type Zeolites via Alkali‐Cation‐Induced Defect Healing: Implications for Adsorbent and Catalyst Design

open access: yesAdvanced Materials, EarlyView.
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler   +14 more
wiley   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju   +9 more
wiley   +1 more source

Sustainable Poly(Lactic Acid)/Graphene Oxide Bioelectronic Platform for Neurotransmitters Sensing and Tunable Stimulation of Astrocytes

open access: yesAdvanced Materials, EarlyView.
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà   +15 more
wiley   +1 more source

Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network

open access: yesPRX Quantum
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting challenges. However, experimental implementations are still scarce.
Hector Hutin   +10 more
doaj   +1 more source

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